Attitudes and Needs of Health Care Providers Toward Artificial Intelligence–Assisted Pediatric Palliative Care: Mixed Methods Study
By
Siyu Cai
Qiaohong Guo
Zishen Wang
Ruixin Wang
Xuan Zhou
Xiaoxia Peng
July 2, 2026
Clinical Scorecard: Perspectives and Requirements of Healthcare Professionals Regarding AI-Enhanced Pediatric Palliative Care: A Mixed Methods Investigation
At a Glance
Category Detail
Condition Pediatric Palliative Care Key Mechanisms Family-centered, holistic care model focused on relieving distress and enhancing quality of life. Target Population Children with serious illnesses and their families. Care Setting Pediatric palliative care teams in mainland China.
Key Highlights
AI has potential to enhance PPC through improved symptom management and decision-making. Implementation of AI in PPC faces unique challenges compared to general healthcare. Healthcare providers' acceptance and trust are crucial for AI technology adoption in PPC. Guideline-Based Recommendations
Diagnosis
Management
Consider the child's best interests and family's sociocultural background in decision-making. Monitoring & Follow-up
Risks
Ethical dilemmas in decision-making, particularly regarding nutritional support in dying phase. Patient & Prescribing Data
Children receiving palliative care services.
AI tools should be tailored to meet the specific needs of PPC.
Clinical Best Practices
Integrate AI applications that align with the holistic principles of PPC. Ensure AI tools are developed with input from PPC healthcare providers. Related Resources & Content
